17 results about "Pre analytical" patented technology

An analytical pretreatment method for analysis of samples includes: preparing an emulsion including oil, and a first droplet and a second droplet being present in the oil and containing a first sample and a second sample respectively; placing, on a substrate, an aggregate of the first droplet and the second droplet in the emulsion; and evaporating the oil and water on the substrate to separate a first evaporation residue and a second evaporation residue from each other that include the first sample and the second sample respectively.

The invention provides a precursor filling and sampling analysis system, which relates to the technical field of detection and comprises an acquisition module, a sampling and detection module and an analysis module. The acquisition module preprocesses a system pipeline and a container before obtaining a precursor, generates a preprocessing result, and obtains a precursor to be analyzed after a preset condition is met. The sampling and detecting module is used for carrying out on-line detection on a precursor to be analyzed to generate a real-time heterogeneous data flow comprising first data of particulate matter information and second data of a fluid state; the analysis module identifies and marks abnormal data points in the first data, constructs a causal association neighborhood based on the first data around the abnormal data points and second data before occurrence, extracts multi-dimensional physical features, and calculates an artifact confidence weight according to the multi-dimensional physical features. And when the confidence weight is higher than a preset threshold value, reconstructing the abnormal data point into a baseline noise value, correcting the real-time heterogeneous data stream, and generating a precursor quality analysis result based on the corrected data.

The invention provides a pre-treatment kit for quantitative analysis of glycoprotein N-glycan, which can be used for sample pre-treatment of glycosylation analysis based on capillary electrophoresis on a biological sample. According to the reagent combination provided by the kit, N-glycan can be separated from glycoprotein of a biological sample to be detected in a non-fixed mode, the separated N-glycan is marked and purified, and the treated sample can be directly used for glycosyl quantitative analysis based on capillary electrophoresis. Therefore, the invention is helpful for obtaining sensitive and reliable capillary electrophoresis detection signals of N-glycans, improving the analysis flux and reducing the test cost.

The utility model discloses a water quality analysis pretreatment device which comprises a plurality of sample introduction passages, a sampling cup and an emptying valve, the sampling cup is connected with the plurality of sample introduction passages, and the bottom of the sampling cup is connected with the emptying valve; a valve A and a valve B in the sample introduction passage are connected, the NO end and the NC end of the valve A are respectively connected with a standard solution and a sample, and the NO end and the NC end of the valve B are respectively connected with an air compressor and a peristaltic pump A; the other end of the air compressor is externally connected with air, the other end of the peristaltic pump A is connected with a sampling cup through a valve C, the valve C and the sampling cup are connected with a peristaltic pump B through a three-way joint, and the other end of the peristaltic pump B is externally connected with pure water; the plurality of sample introduction channels are used for alternately introducing samples. According to the utility model, different dilution ratios of samples can be met, the flexibility of analysis pretreatment is improved, continuous sample introduction is realized, and the test efficiency is greatly improved.

In some embodiments, a method of creating a machine learning based automated authentication system for clinical laboratory diagnostics includes obtaining a biomarker training dataset including biomarker values for a plurality of biomarkers. The method also includes training the auto-encoder with the biomarker training data set as both an input and a target of the auto-encoder to create a trained auto-encoder. The method further includes deploying the trained auto-encoder in a hospital or laboratory. Numerous other embodiments are provided.

The present invention discloses a blood sample observation device before whole blood analysis, which relates to the field of blood sample observation and disinfection technology in the medical industry, and includes: a housing, on which an observation area is provided; a roll of absorbent paper, which is rotatably arranged at the front of the housing; a disinfection box, which is arranged at the rear of the housing; a conveying assembly, which is fixed directly below the observation area; and a vacuum adsorption assembly, which cooperates with the conveying assembly and is used to make the roll of absorbent paper automatically pass through the observation area at intervals and naturally droop into the disinfection box. The present invention realizes the automatic supply of absorbent paper, and realizes the timely disinfection of the absorbent paper and blood samples after observation. Compared with the prior art, the process of blood sample observation is simplified, the tediousness of the work of the detection personnel is reduced, and the pollution and safety hazards are reduced, thereby solving the technical problems of the existing conventional operation mode, such as the complicated process, the tedious detection work, the blood sample is easy to contaminate the surroundings, and the biological risk is high.

The application provides a precursor filling and sampling analysis system, and relates to the technical field of detection, comprising a collection module, a sampling and detection module and an analysis module. The collection module pre-processes the system pipeline and the container before obtaining the precursor, generates a pre-processing result, and obtains the precursor to be analyzed after meeting the preset conditions. The sampling and detection module detects the precursor to be analyzed online, generates a real-time heterogeneous data stream including first data of particulate matter information and second data of fluid state. The analysis module identifies and marks abnormal data points in the first data, constructs a causal association neighborhood based on the first data around the abnormal data points and the second data before the occurrence, extracts multi-dimensional physical features, and calculates a artifact confidence weight accordingly. When the confidence weight is higher than a preset threshold, the abnormal data points are reconstructed as baseline noise values, the real-time heterogeneous data stream is corrected, and a precursor quality analysis result is generated based on the corrected data.

In some embodiments, a method of creating a machine-learning-based autoverification system for clinical laboratory diagnostics includes obtaining a biomarker training dataset, the biomarker training dataset including biomarker values for a plurality of biomarkers. The method also includes training an autoencoder employing the biomarker training dataset as both an input and a target for the autoencoder to create a trained autoencoder. The method further includes deploying the trained autoencoder in a hospital or laboratory. Numerous other embodiments are provided.

A method for identifying disposable holders intended for human samples obtained during pre-analytical sample collection, wherein the method comprises: providing the disposable holders, wherein the holders are of more than one type, wherein holders of a same type are configured to hold a same type of sample; assigning a unique identifier to each holder, wherein the identifier is unique, and wherein the identifier includes a portion that is identical for all identifiers assigned to holders of a same type; encoding the unique identifiers to unique machine-readable codes for read-out of the identifiers; and, at least for a subset of the holders, providing the holders with labels with the corresponding machine-readable codes; such that each collected pre-analytical sample is uniquely identifiable based on the identifier of the holder and such that collected pre-analytical samples can be grouped based on the identical portion of the identifier of the corresponding holders.

Techniques disclosed herein can improve the extraction of chemicals prior to analysis by GC or GCMS. A liquid or solid sample can be placed in a sample container of a closed system under vacuum that further includes a sample extraction device. The assembly can be placed in a 3-zone heater that can separately control the temperature of the bottom of the sample container, the top of the sample container, and the sample extraction device. Vapor flux from the bottom of the sample container into the headspace of the sample container can deliver compounds of interest to the sample extraction device, whereas matrix compounds can re-condense in the headspace of the sample container to avoid delivery to the sample extraction device. Extraction can continue until substantial transfer of compounds of interest to the sorbent occurs, followed by thermal desorption of the extract into a GCMS for analysis.

A technique is provided that shortens the setup time for analytical methods by pretreating samples using SPE columns before analysis in the analytical unit. In the analytical system, a first flow path (21) includes one or more solid-phase separation columns. Samples from an autosampler (10) are introduced into either the first flow path (21) or the second flow path (22). The samples are then conveyed from either the first flow path (21) or the second flow path (22) via a switching valve (30) to the analytical column and detector (50) within the column oven (40). Sample purification is performed in the first flow path (21), while it is not performed in the second flow path (22).

The invention discloses a time-space multi-omics automatic analysis method, which comprises the following steps: acquiring sequenced sample data within a period of time from an information management system, the sample data being time-space multi-omics type data; preprocessing the sample data; starting a data merging workflow for the sample data of which the merging state is waiting, and after data merging succeeds, the merging state of the sample data is completed, and the quality control state is waiting; performing quality control analysis pre-processing on the sample data of which the quality control state is waiting; starting a quality control analysis workflow for the sample data which passes the quality control analysis preprocessing and meets the conditions, and after the quality control analysis succeeds, the quality control state of the sample data is completed; acquiring project data from the information management system; and generating a quality control report according to the sample data and the project data. According to the invention, full-chain automatic processing from sample data collection, merging, quality control analysis to report generation is realized, so that errors caused by manual operation are reduced, and the working efficiency is remarkably improved.

The invention discloses a sample analysis system and a sample information display method.The sample analysis system comprises an input module, a transmission track, analysis equipment, an image acquisition module, a processor and a display screen; the input module is used for bearing a sample container loaded with a blood sample and transferring the sample container to the transmission track; the transmission track is used for transmitting the sample container to analysis equipment; the analysis equipment is used for analyzing the blood sample in the sample container to obtain an analysis result; the image acquisition module is used for shooting at least two first images of a sample container before the analysis equipment performs sample analysis, and each first image at least partially displays part of a blood sample in the sample container; the processor is used for generating three-dimensional representatives based on the at least two first images and generating three-dimensional representatives and / or animations for displaying sample containers containing blood samples from different angles; and the display screen is used for displaying the analysis result in the user interface and outputting the three-dimensional representative object and / or animation.

1. The name of the design product: full-automatic nucleic acid detection analyzer. 2. The use of the design product: the design product is used for adding reagents and samples before analysis by clinical test analysis instrument, and amplification detection analysis of nucleic acid in clinical biological samples. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

The invention discloses a pretreatment instrument for sample analysis. The pretreatment instrument comprises a rack, an XYZ moving module, a three-axis manipulator and a pipetting device, a placing area, a feeding area, a uniform mixing area and a centrifugal area are arranged on the rack, and the placing area is located at one end corner of the rack; the centrifugal area is located on one side of the rack. The feeding area is located between the containing area and the centrifugal area and provided with a salt adding module. The uniform mixing area is positioned at the front end of the placing area; the salt adding module comprises a base, a driving assembly, a storage barrel and a feeding assembly, a discharging opening is formed in the bottom end of the storage barrel, the feeding assembly comprises a feeding shaft, a fixing frame and a discharging pipe, the feeding shaft is horizontally and transversely arranged in the fixing frame in a rotating mode, the feeding shaft comprises a rod body part and a bearing part, and a plurality of feeding grooves are formed in the surface of the bearing part; the bearing part is located at the bottom end of the discharging port. The device has the advantages that all the modules are reasonably arranged, the experiment efficiency can be improved, the salt adding module can accurately control the salt adding amount, and experiment errors can be reduced.

In some embodiments, a method of creating a machine-learning-based autoverification system for clinical laboratory diagnostics includes obtaining a biomarker training dataset, the biomarker training dataset including biomarker values for a plurality of biomarkers. The method also includes training an autoencoder employing the biomarker training dataset as both an input and a target for the autoencoder to create a trained autoencoder. The method further includes deploying the trained autoencoder in a hospital or laboratory. Numerous other embodiments are provided.

On the basis of characteristic information (21) indicating a relation between types of quantum gates used in a quantum circuit and simulation times in a DD quantum circuit simulator (30), an information processing apparatus (1) counts, for each qubit of the quantum circuit targeted, the numbers of quantum gates in descending order of simulation time. The information processing apparatus (1) then determines quantum gates with simulation time lengths at a predetermined rank or higher from plural types of quantum gates, determines the number of quantum gates for each quantum gate determined in a case where there are plural types of quantum gates determined to be at the predetermined rank or higher, rearranges an order of qubits to be provided to the quantum circuit simulator (30) in ascending order of the number determined, and outputs the rearranged order of the qubits. The information processing apparatus (1) thereby enables increase in speed of the simulation time of the DD quantum circuit simulator (30).